Microsoft

The companies say they will expand their existing technology collaboration to create and deliver solutions to help customers, suppliers, and other businesses lower emissions.

The tech giant and supermajor have been working on cloud solutions already, but in a new agreement, they will combine their talents to create new technologies for oil and gas as well as energy consumers.

The 5-year effort will take advantage of Microsoft technologies in machine learning, augmented reality, user interactions, and the industrial Internet of things to deliver integrated solutions to the upstream industry.

Launched in collaboration with industry leaders and academia, the Microsoft Energy Core aims to accelerate digital transformation, build coalitions for responsible innovation, deliver skilling initiatives, and address sustainability and societal challenges.

The joint offerings are expected to help make energy operations safer, cleaner, and more efficient.

Microsoft announced that it will open an AI Center of Excellence for Energy in the United Arab Emirates—a global first for the company—to empower organizations in the industry in accelerating digital transformation and equipping their workforce with AI skills.

The combination of digital technologies will enable Chevron—and, eventually, other companies—to process, visualize, interpret, and glean insights from multiple data sources, the companies said.

Partnerships with big tech, tech startups, and innovative service companies—and the merging of their data, cloud, and software applications—are proving essential for operators in the scaling phase of digital deployment. Equinor, Microsoft, and Halliburton are among those joining forces.

ForeSite users will be able to create and visualize customized data reports or select from a series of built-in visualization dashboards and reports that monitor key performance indicators and identify production optimization opportunities.

Microsoft  announced three new services that aim to simplify the process of machine learning—an interface for a tool that automates the process of creating models; a new no-code visual interface for building, training, and deploying models; and hosted Jupyter-style notebooks for advanced users.